应用移动流行区间法建立宁夏回族自治区手足口病预警模型

Establishment of early warning model of hand foot and mouth disease in Ningxia Hui Autonomous Region based on moving epidemic method

  • 摘要:
    目的 基于移动流行区间法(MEM)建立手足口病预警模型,为宁夏回族自治区手足口病的科学防控提供理论依据。
    方法 收集中国疾病预防控制中心传染病报告信息管理系统中2015—2023年宁夏回族自治区手足口病数据,对春夏季和秋冬季两个流行季节分别建立MEM模型。选择最优参数进行模型拟合,采用交叉验证法,利用灵敏度、特异度、约登指数等指标评价模型。利用建立的模型预警宁夏回族自治区2024—2025年度手足口病流行情况。
    结果 2024—2025年宁夏回族自治区手足口病预警结果显示,春夏季发病数高于2023年,秋冬季发病数低于2023年,流行高峰在两季均达到中流行水平。春夏季MEM模型最优参数δ=2.00,灵敏度、特异度和约登指数依次为0.79、0.92和0.71;秋冬季MEM模型最优参数δ=3.50,灵敏度、特异度和约登指数依次为0.91、0.85和0.76。
    结论 MEM模型可较精准的识别宁夏回族自治区手足口病流行强度,其双峰季节性适应性强,优于传统单峰模型,能够结合预测区间动态调整防控策略。

     

    Abstract:
    Objective To establish an early warning model of hand, foot and mouth disease (HFMD) based on moving epidemic method (MEM), and to provide theoretical basis for the effective prevention and control of HFMD in Ningxia Hui Autonomous Region.
    Methods The incidence data of HFMD in Ningxia from 2015 to 2023 were collected from the infectious disease reporting information management system of Chinese Center for Disease Control and Prevention, and MEM models were established for the predictions of HFMD epidemics during spring - summer and during autumn-winterrespectively. The optimal parameters were selected to fit the model, and the cross-validation method was used to evaluate the model by using sensitivity, specificity and Jorden index.The model was used to predict the incidence of HFMD during 2024−2025 in Ningxia.
    Results The early warning results in Ningxia Hui Autonomous Region from 2024 to 2025 showed that the incidence of HFMD during spring - summer was higher than that in 2023, and the incidence of HFMD during autumn - winter was lower than that in 2023, and the incidence peak reached the medium level in both seasons.The spring-summer model’s optimal parameters δ was 2.00 the sensitivity was 0.79, the specificity was 0.92 and the Jorden index was 0.7 respectively. The autumn-winter model’s optimal parameters δ was 3.50, the sensitivity was 0.91, the specificity was 0.85 and the Jorden index was 0.76, respectively.
    Conclusion The MEM model established in this study can accurately predict the incidence intensity of HFMD during spring-summer and during autumn-winter in Ningxia with the performance superior than traditional single peak model and can be used to adjust the prevention and control strategies by predicting the incidence dynamics of HFMD

     

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